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@@ -117,6 +117,36 @@ Example Jupyter notebooks that showcase the library, as well as scripts
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to process various Lagrangian datasets, can be found in
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[clouddrift-examples](https://github.com/Cloud-Drift/clouddrift-examples), [gdp-get-started](https://github.com/Cloud-Drift/gdp-get-started), [mosaic-get-started](https://github.com/Cloud-Drift/mosaic-get-started), or [a demo for the EarthCube community workshop 2023](https://github.com/Cloud-Drift/e3-comm-workshop-2023).
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## Contributing and scope
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We welcome contributions from the community.
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If you would like to propose an idea for a new feature or contribute your own
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implementation, please follow these steps:
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1. Open a new [issue](https://github.com/Cloud-Drift/clouddrift/issues) to discuss your proposal.
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2. Once we agree on a general way forward, [fork the repository](https://docs.github.com/en/github-ae@latest/get-started/quickstart/fork-a-repo) and [create a
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new branch](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/proposing-changes-to-your-work-with-pull-requests/creating-and-deleting-branches-within-your-repository) for your contribution.
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3. Write your code and [tests](https://docs.github.com/en/actions/automating-builds-and-tests). Please follow the same style as the rest of the
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codebase and ensure that all new functionality is covered by your tests.
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4. Open a pull request and request a review.
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The scope of CloudDrift includes:
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* Working with contiguous ragged-array data; for example, see the
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